Showing 4 open source projects for "node.js"

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  • 1
    camaro

    camaro

    camaro is an utility to transform XML to JSON, using Node.js

    camaro is a utility to transform XML to JSON, using Node.js bindings to a native XML parser pugixml - one of the fastest XML parsers around.
    Downloads: 0 This Week
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  • 2
    DefiantJS

    DefiantJS

    Provides the ability for you to build smart templates applications

    ...DefiantJS provides the ability for you to build smart templates applicable on JSON structures, based upon proven & standardized technologies such as XSLT and XPath. As of v2.0.0, Defiant can be utilized in the Node.js environment. Since there is no default support for XML technologies in Node, the library puppeteer is initiated to mimic the browser environment, with Defiant running. All methods called from Node is piped via Puppeteer. Even though, Defiant now can be used in the Node environment - utilizing Defiant in the browser is recommended. ...
    Downloads: 0 This Week
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  • 3
    unfetch

    unfetch

    Bare minimum 500b fetch polyfill

    ...One of the key differences is that Unfetch focuses on implementing the fetch() API, while offering minimal (yet functional) support to the other sections of the Fetch spec, like the Headers class or the Response class. Uses simple arrays instead of iterables, since arrays are iterables. No streaming, just Promisifies existing XMLHttpRequest response bodies. Use in Node.JS is handled by isomorphic-unfetch.
    Downloads: 0 This Week
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  • 4
    Extended Memory Semantics (EMS)

    Extended Memory Semantics (EMS)

    Persistent shared object memory and parallelism for Node.js and Python

    EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using distributed programming.
    Downloads: 0 This Week
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